This paper discusses how a robot can develop its state vector according to the complexity of the interactions with its environment. A method for controlling the complexity is prop...
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
: This paper presents a new path-tracking scheme for a car-like mobile robot based on neural predictive control. A multi-layer back-propagation neural network is employed to model ...
This paper presents a biologically inspired approach to two basic problems in modular self-reconfigurable robots: adaptive communication in self-reconfigurable and dynamic networks...
We study self-organized navigation in a heterogeneous robotic swarm consisting of two types of robots: small wheeled robots, called foot-bots, and flying robots that can attach to ...
Frederick Ducatelle, Gianni A. Di Caro, Alexander ...